What we build.
Our flagship work is getting enterprise .NET systems onto modern runtimes and safely into AI. Around that sits a full engineering practice covering custom software, cloud platforms, data and document systems, and applied AI, delivered with senior accountability from start to finish.
We're not a single-stack shop. Modernization is where the deadlines and the budgets are right now, so it leads. Everything else gets built in the technology the problem actually calls for.
.NET & Azure Modernization
Off unsupported runtimes, onto .NET 10, and AI-capable. We work in incremental, reversible waves while the legacy system keeps running. Engagements are fixed-scope with a defined deliverable: a two-week Modernization Assessment, an AI Readiness Sprint in your own tenant, or a fractional-architect retainer.
- Dependency map, blocker register, and a costed migration plan you own outright
- No source-code access required for the assessment
- If the report isn't useful, you don't pay
The rest of the practice
Select engagements, senior-led, accountable for delivery end to end.
Custom software development
Internal tools, ERP and CRM systems, and line-of-business platforms, designed and built by a senior engineer who stays accountable from first call to production.
Cloud platform engineering
Landing zones, workload migrations, and cost optimization for systems that need to run lean and pass review. Azure is where we're deepest.
Applied AI systems
Retrieval and agent systems built properly: document parsing, chunking and retrieval pipelines, citation and evaluation harnesses, and private model deployment. Not an API key behind a chat box.
Data & document systems
Pipelines, search, and reporting over the records a business actually runs on, including the unstructured document estates that most reporting tools ignore.
Regulated environments
Financial services, compliance, and other review-heavy settings where data residency, auditability, and security sign-off decide what can ship.
Fractional architecture
Senior architecture ownership on retainer, across modernization, cloud, and AI, without carrying a full-time hire.
Something specific in mind?
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